Triple

T7128115
Position Surface form Disambiguated ID Type / Status
Subject Saint-Léonard E166115 entity
Predicate namedAfter P63 FINISHED
Object Saint Leonard E266134 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Saint Leonard | Statement: [Saint-Léonard, namedAfter, Saint Leonard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Leonard
Context triple: [Saint-Léonard, namedAfter, Saint Leonard]
  • A. Saint Léonard
    Saint Léonard is a Christian saint venerated particularly in France, traditionally regarded as the patron of prisoners and captives.
  • B. Saint Leonard of Noblac chosen
    Saint Leonard of Noblac is a 6th-century Frankish saint venerated as the patron of prisoners and captives, often invoked for liberation and mercy.
  • C. Saint Lambert
    Saint Lambert was a 7th-century bishop and martyr venerated in the Low Countries, especially associated with Maastricht and Liège.
  • D. St Martin
    St Martin is a Christian saint, traditionally known as Martin of Tours, venerated for his humility and charity, particularly his legendary act of sharing his cloak with a beggar.
  • E. Saint Vaast
    Saint Vaast (also known as Saint Vedast) was a 6th-century Frankish bishop and Christian missionary venerated as a saint, particularly in northern France and Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a338b6908190bace3ee43a080c2f completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.